{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "88ddd5f4-65f8-4207-a895-6fb1ab6116ed",
   "metadata": {},
   "source": [
    "## 南丁格尔圆环图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0ac1a0ca-4ce0-4c52-9457-9b7accce0fc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\19857\\\\Pictures\\\\Camera Roll\\\\南丁格尔圆环图.html'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Pie\n",
    "\n",
    "ages = ['>=50', '[40,50)', '[30,40)', '[20,30)']\n",
    "percentages = [12.5, 20.8, 29.2, 37.5]\n",
    "\n",
    "colors = [\"#C3E2EC\", \"#CECCE5\", \"#F7C4C1\", \"#BCD1BC\"]\n",
    "\n",
    "pie = (\n",
    "    Pie(init_opts=opts.InitOpts(width=\"800px\", height=\"600px\"))\n",
    "    .add(\n",
    "        series_name=\"年龄分布\",\n",
    "        data_pair=[(age, percentage) for age, percentage in zip(ages, percentages)],\n",
    "        radius=[\"40%\", \"70%\"],\n",
    "        rosetype=\"radius\",\n",
    "        color=colors,\n",
    "    )\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title=\"年龄分布图\"),\n",
    "        legend_opts=opts.LegendOpts(orient=\"vertical\", pos_top=\"15%\", pos_left=\"2%\"),\n",
    "    )\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(formatter=\"{b}: {c} ({d}%)\"))\n",
    ")\n",
    "\n",
    "# 显示图表\n",
    "pie.render(\"D:/19857/Pictures/Camera Roll/南丁格尔圆环图.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25ff93b2-09c8-45d8-9a31-579467c8e93c",
   "metadata": {},
   "source": [
    "## 仪表盘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f8933179-a03e-485d-b6a9-519310af8814",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "inner_radius = 0.9\n",
    "outer_radius = 1\n",
    "num_segments = 14\n",
    "\n",
    "inner_colors = ['#F7C1D0', '#F7C1D0', '#ADD9EE', '#ADD9EE', '#ADD9EE', '#FFFFFF', '#FFFFFF', '#FFFFFF', '#FFFFFF', '#CAC0E1', '#CAC0E1', '#CAC0E1', '#F7C1DB', '#F7C1DC']\n",
    "\n",
    "outer_colors = ['#FFD47E' for _ in range(num_segments)]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "wedges1, texts1 = ax.pie([1] * num_segments, radius=inner_radius, colors=inner_colors, startangle=90, counterclock=False, wedgeprops=dict(width=0.3, edgecolor='w'))\n",
    "\n",
    "wedges2, texts2 = ax.pie([1] * num_segments, radius=outer_radius, colors=outer_colors, startangle=90, counterclock=False, wedgeprops=dict(width=0.3, edgecolor='w'))\n",
    "\n",
    "labels = []\n",
    "label_value = 70\n",
    "for color in inner_colors:\n",
    "    if color != '#FFFFFF':\n",
    "        labels.append(label_value)\n",
    "        label_value += 10\n",
    "    else:\n",
    "        labels.append(None)\n",
    "\n",
    "for i, wedge in enumerate(wedges1):\n",
    "    if labels[i] is not None:\n",
    "        angle = (wedge.theta2 - wedge.theta1) / 2 + wedge.theta1\n",
    "        x_left = (inner_radius - 0.05) * np.cos(np.deg2rad(angle - 5))\n",
    "        y_left = (inner_radius + 0.05) * np.sin(np.deg2rad(angle - 5))\n",
    "        x_right = (inner_radius + 0.05) * np.cos(np.deg2rad(angle + 5))\n",
    "        y_right = (inner_radius + 0.05) * np.sin(np.deg2rad(angle + 5))\n",
    "\n",
    "        ax.text(x_left, y_left, str(labels[i]), ha='center', va='center', color='black')\n",
    "\n",
    "        ax.text(x_right, y_right, str(labels[i]), ha='center', va='center', color='black')\n",
    "\n",
    "ax.set_aspect('equal')\n",
    "plt.title('仪表盘图')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba96fabd-68af-4362-8642-d38ea600dc7e",
   "metadata": {},
   "source": [
    "## 目标柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4847f884-d8a0-430e-b0ac-f1d6f1e261ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cHKzvvvtO33//vVJSUpSSkqJLly4pKSlJfn5+Onv2rKTLM15nTDAVHByc6RjFixfX+vXrlZKSoi+++EI9evRwWV+yZEn98MMP2rx5sxo2bCjpcst169atZbFYlJaWZlzLjGcNh4aG6rXXXnPZT0a35at5eXlp+vTpRjf1lJQUxcfHu1zLv//+W1WrVnXZ7tSpU4qIiNDw4cP17rvvKiQkxJiIq2/fvnr99dclSV27dpWHh4dLV+wrjR07VnPnztW7776rYcOGuaxbv3696tatK7vdrlWrVmWafOxKGeOXn3rqKc2aNUtNmzbVrl271K9fP73//vtasGBBpsm7AAB3H8IxAOCG7Nu375rPOR43bpzmzZtnvH/++edVpkwZ9ejRQ0OHDpWbm5sWLFigmJgYbdq0ScuWLXPZ/q233lL16tU1dOhQffzxx5Kkbt26qVu3bho5cqT27t2rxYsXu2xTrlw5NWvWzGVZVl2/Mya7ev7553XPPfdIkrZt26bt27e7jGeePHmybDaby7aXLl3SoUOHsp0VWro8W7LValXVqlUVExOT6YuEjh07avPmzS7L+vfv7/L+sccey7Tfzp07u1zTo0ePKiwsTN9++626deumr776SqmpqXrjjTdctuvUqZM++OADjRw5UmvWrJEkNW3aVCkpKYqMjNQnn3zi8oxf6fIszVdfy+y6kKempqpjx46qXLmyJOnQoUP66quvXK7l/PnzM13LjNb7nj17Go+5yml39wxjxozR0KFDtXDhwkzPcZakhQsX6qmnnpJ0uRv5gAEDst1X0aJFtXHjRkmXu2l/8803mjRpkp5//nmtXbtWkydPliSX3wEA4O5DOAYA3BB/f38FBARku/7qUPrKK6+oWrVqmQLMuHHjFBoamul5v+XLl9fgwYP17rvvqkuXLqpbt26mY9hsNqWnpxvPDX7nnXdcZiTOTkBAgDHONcOhQ4fk7e2tUqVKGcv+97//ZWrt/OOPP9SsWTN5eXldsxUxNTVV+/bt06lTpzKF4zVr1sjDw0MeHh4uLcoJCQmqU6eOOnfurIEDBxqPUnI4HLJarZm6NJcpU0arVq3SoEGDNHjwYNWoUUNdu3ZV8eLFXcq5ubnpzTffVNeuXfXrr79m+1zpS5cuGcf84osv9MUXX2Qqc3Vgli5PinblmOP4+Hi5u7u7XMvBgwdnGvPbq1cvPfHEEzmazCs7FotFr776qjp27KilS5e6rNuwYYN27typL7/8Ur6+vho1apS+//77LJ8tfaXExESVL19e9erVU7t27TRo0KAczc4OALg7EI4BADmSk4mXstK+fXtJlwNYhoMHD2rKlCmaOXOmEfyu3H+/fv00b948HTlyJFM4TkhI0NNPP6369esbs0iPGDEi04RcWY3dfeeddzR//nyXAJ/RrToiIsJYlpaWpuDgYJexrI0bN3Z5Ru71REdHZwqUGWH+SgcPHlTHjh11zz336OWXX1bFihXVuHFjjR49WuXKlcu0TXp6ujw8PIy6zZgxQ0ePHjW6Il+tU6dOGjx4sGbMmJEpHFutVv33v/+VxWIxWm5feumlTBNyNW7cONN+p0yZovfff1++vr7G7zAlJUUJCQku1zI9PV1paWk6c+aMsaxZs2bG7ztjjPaNGjx4sNGt/up9DBkyRC1btjRatF944QX16NFDO3fudPkCIWP7DAULFtR3332nxYsXKyIiQhcvXtR3331nPEdZuvyFBQDg7kQ4BgDkSEbX2JyMOc6q23VaWprx34oVK2rFihVq2rSpZs2apT/++EOJiYkqWrSopMstvAcPHszUYnrw4EH99NNPeu6554zJma4OOA6HQ2fOnFFiYmKmWZqHDBmioUOHqnDhwsa+Z8yYocjISOOZvhn7vPJ5wzcqPT1dBw4c0Msvv5zleofDoY0bN2rOnDmaO3euHn/8cc2dO1cBAQGaPn26RowYodDQUIWHhysiIsLlsUtXB/QHH3xQ48aNU8WKFTVnzhxt3LhRZ8+eNUK1l5eXfv75ZyMoZjh48KD27t2rYsWKadasWcZ5X8npdCo2Nlbnz5/PdC1ffPFFderUSQEBAcajqn766Sd17drVGL+csc+sni2dcf3T0tKMSdkOHz4sm81mdFu/dOmS3N3djf2lp6crMDBQxYoVkySjTunp6XI4HHI6nfroo4+0bds2l+7iY8eOVeXKlfXEE09oxYoVRst2xvOvr6xvUFCQevfure7du+uHH35QmTJljPV///13pi7iAIC7B+EYAJAjDodDgYGB2rRpU5aTQ2UYN26cPvvss0zLrwzHFovFaI27ePGitm/frg8++MDl0UlZzY5cokQJjRs3zmVs7dUhduPGjWrSpIkqVqzosr9q1arp3LlzxqzZGaxWq1JTUzN1n01PT1dCQoIWLFigVq1aZXu+Vxo6dKji4+O1c+dOJSQkqFGjRi7ro6KiNHToUG3dulVnz55VnTp1NH/+fD377LNGmTZt2qh169aaNm2aBg8erC+++EI//PCD6tevL0mZwlmNGjWM5wO7u7trzZo1ateunVq2bGmUqVKlSqa6BgcHq3///vroo4+McHv1tTx69KgqV66s4sWLu7SCt2rVStu2bXP5kiHjmqWkpGS6lna7XQkJCfrggw9cxiNLl++HjOP27t1b27dvz9RtvX79+nI6nUpLS9Nbb72lN99802V9xjWZNm2ahg4dqkGDBqlWrVou5zp79mw9++yzeuaZZ7R582Z5enrKbrdr7969qlixYqbrk+HqFvmMseoAgLuPxXmz/eQAALhNnT179poBPreMGDFCS5cuVZUqVfTyyy+7dMfN8Pbbb8vDw0Pt27fPNK75aqdPn9a0adP01ltvZWq5zSv5dS1vxJw5c/TSSy9pyZIlmj17tpYsWZLlpGkLFy5Uo0aNjJ4N7777rpYvX55pUrLszJs3T3379tXFixdvaf0BALcHwjEAADClixcvKjk52WUCMQCAeRGOAQAAAACm55bfFQAAAAAAIL8RjgEAAAAApkc4BgAAAACYXp4+ysnhcOj06dMqVKhQlo/oAAAAAADgVnI6nbp06ZLuvfde4/GFWcnTcHz69GmVLl06Lw8JAAAAAIBOnjx5zScU5Gk4LlSokKTLlfL398/LQwMAAAAATCgxMVGlS5c28mh28jQcZ3Sl9vf3JxwDAAAAAPLM9Yb2MiEXAAAAAMD0CMcAAAAAANMjHAMAAAAATC9PxxwDAAAAwJ3KbrcrPT09v6uBq3h6esrd3f1f74dwDAAAAADX4HQ6dfbsWcXHx+d3VZCNgIAABQcHX3fSrWshHAMAAADANWQE42LFisnPz+9fBTDcWk6nU8nJyTp37pwkqUSJEje9L8IxAAAAAGTDbrcbwTgwMDC/q4Ms+Pr6SpLOnTunYsWK3XQXaybkAgAAAIBsZIwx9vPzy+ea4Foyfj//Zkw44RgAAAAAroOu1Le3W/H7oVs1AAAAANyE6OhoxcbG5tnxgoKCVKZMmTw7ntkQjgEAAADgBkVHRys0NFTJycl5dkw/Pz9FRUXdUEBu2rSpdu3apYIFC2a5Pj4+Xo8//ri+/vprY9nMmTO1atUqLVq0SE6nU6mpqfLx8XFpnbXZbJIkD4//HykHDBigEiVK6M0335QkXbx4UUWLFtWmTZvUp08f7dy5U4mJifLz83PZrkmTJoqPj1dAQECm+qWmpur06dOKjo7O8TnfLMIxAAAAANyg2NhYJScna968eQoNDc3140VFRSksLEyxsbE3FI69vLw0ZswYde/ePcv1EREROnr0qMsyX19fYwzviRMnVKFCBRUoUMAIx3a7XSkpKZoxY4a6du0qSTp58qQ+/fRTrVq1SlarVWlpaapSpYpWrlwpb29veXt7S5JGjhyp8+fPa+7cucbxvL29ZbfbjcB9Jbvdbky4ldsIxwAAAABwk0JDQ1W7du38rka23NyuP81URivuxYsXde7cOcXGxuqff/7RgQMHVLRo0SxD65VsNpteeukleXp6ql27dkpPT9eGDRv09ttvq2/fvpo4caIk6dixY4qMjNS2bdtctrfb7QoPD8/yOp45c0YDBw7M4dn+O4RjAAAAALhLWSwWDRkyRKNGjcpyfXx8vNq2bStJ+v333/XVV19p3bp18vT01Icffqi2bduqdevWWW7rcDjk5uamSZMmKT4+XjExMfL39zfWV6pUSfXr11diYqLsdru8vLy0YMGCTC3fnTt31okTJ7Rq1aosj/Pqq6/exJnfOMIxAAAAANzFrtet+tSpU5Kk5s2bq3nz5qpWrZrq1q2rsWPH6qWXXtJzzz0nLy8v2Ww22Ww2+fj4yOFwKDk5WUlJSerXr5+OHTumqlWrymKxKDAwUDt37tTkyZM1ffp0VapUSYGBgerWrZt27dqlESNGqHfv3urTp482b96sgICAaz4qy2azaeHChWrcuLE+/PDDXLlGEuEYAAAAAPB/Dh06pH379ik5OVlNmzbVtm3b5OnpKUmaN2+eli5dqsWLF2fabvz48SpatKh8fX3Vv39/SZfHEj/33HMaM2aMUe755583xh9PnjxZkjR79mwlJCRkWyeLxaJ+/frdqlPMFs85BgAAAABIkj7++GOVL19eDz/8sGw2m+bOnauffvpJhw4dMsqcOXNGP/74o/HearXqm2++0V9//aW9e/fq22+/1YEDB+Tm5qaZM2eqWrVqxmvVqlWZnkk8ZswY2e12hYSEKCQkRG+//baCg4MVEhKiwMBADRkyJE/OnZZjAAAAALiL5XTM8R9//KH58+drxIgR2rlzp6ZNm6aKFSuqcePG6t27t4oUKSJJ+uWXXxQeHq6oqCgFBwfLbrfryJEjio+Pl4eHh44cOaLy5ctLkrp165ap5fhqbm5uioyMVIECBSRJKSkpGj9+vNzc3GSz2XI0qditQDgGAADXFB0drdjY2PyuhikEBQXd0CNaACAncjrmODIyUu+//74Rghs0aKDt27fr9OnT+u9//6tvv/1W0uWAO3PmTL3xxhuaP3++/Pz8FBERoZEjR8rHx0f9+/eXj4+PtmzZopkzZ2rFihXG8U6dOqUWLVq41KF+/foqUqSIMe549+7devTRR+Xp6SmbzabixYvf8muSFcIxAADIVnR0tEJDQ5WcnJzfVTEFPz8/RUVFEZCBO0hUVNRdc5wJEybI3d1dCxcuNJYNGzZMPXv2NFp1M7zzzjtq3LixRo0apbJlyxrLDx48qNq1a+u3336TlLnluGPHji77+e2337Rr1y55eXkZy9LT07Vu3TqjxTgtLU2bN29Ww4YNb93JZoFwDAAAshUbG6vk5GTNmzdPoaGh+V2du1pUVJTCwsIUGxtLOAbuAEFBQfLz81NYWFieHdPPz09BQUE3tI3dbr9ut+qnnnpKkuTu7i7pcji12WxKT09Xy5Yt9cILL2jlypVavXq1fH19JUkPPfSQDh8+rPvuu8/Y14kTJzR//nxNmTJF/v7+cjqdLse6dOmSzp496zLmuGbNmlq9erWCgoKM5UFBQfr5559VsGBBOZ1OJScnu4Tn3EI4BgAA1xUaGqratWvndzUA4LZRpkwZRUVF5emwk5sZeuHu7q6PPvpIL730UpbrIyIidPjwYZdlVqtVqamp8vT01Ouvvy7pcpfr8+fPu7QCXxmMJSk4OFiLFi3S008/Leny2OErPfbYYzp+/Ljx78nKlSv19ttvq3Dhwi6B2WKx6KmnnnIZa5yYmKgePXqoR48eN3T+N8LivDrO56LExEQVLlxYCQkJLg+HBgAAt6c//vhDderU0e+//044zmVca+D2lJqaqmPHjqls2bLy8fHJ7+rc0eLi4hQQEJBptupb4Vq/p5zmUFqOAQAAAAC5LmOir9sVzzkGAAAAAJge4RgAAAAAYHqEYwAAAACA6RGOAQAAAACmRzgGAAAAAJge4RgAANxRZsyYodKlS8vPz09NmjTR0aNHJUl9+/aVxWIxXhUqVMi07eDBg9WmTZu8rjIA3Db++ecfvfTSSzpx4kR+V+W2QzgGAAB3jCNHjujdd9/VsmXL9Ndff6l8+fLq2rWrJGnHjh36/vvvFRcXp7i4OO3cudNl2927d2vq1KmaNGlSPtQcAG4PBQoU0O7duzVjxows1zudTlksFhUtWlSBgYGyWCzasWOHnn76aYWEhLi87r33Xv36668u2w8YMEBjx4413l+8eFGStGnTJj3wwAOSLj932GazuWzXpEkT1apVS02aNMn0ql+/vsqUKXMrL0OWeM4xAAC4Y+zcuVP169dX7dq1JUn//e9/9eyzz8pms2nfvn1q1KiRChYsmGk7h8Ohnj17asCAASpXrlxeVxvAXcrhdMrNYrmtj/fuu+9q1qxZLssuXLigcePGae7cuS7Lhw8frh49esjT01N//PGHzpw5o6efflp16tTRwoUL5eXlJXd3d6N8amqqPD09jfcnT57Up59+qlWrVslqtSotLU1VqlTRypUr5e3tLW9vb0nSyJEjdf78eZfje3t7y263ZwrNkmS32+Xr63tD530zCMcAAOCOUaVKFf3888/6888/VbZsWU2dOlXNmzfXnj175HA4VKtWLcXExKhx48aaNm2a0dLw2Wefac+ePerZs6eWL1+uFi1ayMvLK5/PBsCdzs1i0fLjl3QhNXOgu9UCfTz0VEihG94uKSlJzZo1y9RSHBMTIz8/PxUpUkSS9PDDDyslJUWSjL+Pa9as0eOPPy6LxZJlOPXx8TF+ttlseumll+Tp6al27dopPT1dGzZs0Ntvv62+fftq4sSJkqRjx44pMjJS27Ztc9mX3W5XeHi48eXnlc6cOaOBAwfe8LnfKMIxAAC4Y1SpUkUdOnQwuuaVLVtWW7du1Y8//qjKlStr8uTJCgoK0oABA9SzZ0+tWrVKSUlJGjFihMqVK6cTJ05o7ty5GjVqlH755Zc8aYkAcHe7kGrT3yn2/K5GtmrUqCGr1aqoqCj17NlT06ZNU2hoqL766ivNmTNHf/75pyQpLCxMVapUcdl29erV6t27t9FCfGWrsXS5V05qaqr8/Pw0adIkxcfHKyYmRv7+/kaZSpUqqX79+kpMTJTdbpeXl5cWLFiQqZt0586ddeLECa1atSrL83j11VdvwdW4NsIxAAC4Y2zbtk3fffedfvvtN91///0aO3asWrVqpW3btqlz585GualTp6ps2bJKTEzU0qVL9c8//2jdunUKCgqSzWZT9erVNXfuXPXs2TMfzwYAcl9YWJjsdrucTqfatGmjevXqacKECZKkkJAQo1zv3r1dtktMTNS2bdv0zTff6MUXX9TatWvl5uYmq9Uqq9Uqf39/OZ1OWa1WxcTEqF+/fjp27JiqVq0qi8WiwMBA7dy5U5MnT9b06dNVqVIlBQYGqlu3btq1a5dGjBih3r17q0+fPtq8ebMCAgLk5+eX7XnYbDYtXLhQjRs31ocffpgr14pwDAAA7hhffvmlnn/+edWrV0+SNGrUKH366afatWuXatWqZZQrVqyYHA6Hzpw5o1OnTql+/foKCgqSJHl4eKhGjRo6fPhwfpwCAOS5Zs2aqXXr1ho0aJAaNmyolJQUbd26VSVLlsx2m4IFC6pu3br66aeftGjRImN5ZGSkFi9erBUrVmTaZvz48SpatKh8fX3Vv39/SZfHEj/33HMaM2aMUe755583xh9PnjxZkjR79mwlJCRkWx+LxaJ+/frd0HnfKGarBgAAdwyHw6Fz584Z7y9duqTk5GQNGjRICxYsMJZv2bJFbm5uKl26tEqVKmWMo8tw4sSJa34oBIC7yfDhwzVx4kS1bdtWDRs2VLNmzXT27NlrzgDt5uam4cOH691335Ukffvtt9q+fbuxfv/+/S6h2Wq16ptvvtFff/2lvXv36ttvv9WBAwfk5uammTNnqlq1asZr1apVslw1sdiYMWNkt9uNmbDffvttBQcHKyQkRIGBgRoyZMgtviqZ0XIMAADuGI888oheeukl1a5dW8WLF9eMGTMUHBysLl26KCIiQsWLF5fdblefPn3UpUsX+fn56cknn1SfPn302WefqXXr1lqyZIl27drl8qEOAO5GTqdTqampeuyxx7R9+3YtW7bMWBcTE6MGDRoY7202m9LS0ly6NteoUUOHDh3ShQsX1KdPH40ePdpYFxUVpR49eqhZs2YqUqSI7Ha7jhw5ovj4eHl4eOjIkSMqX768JKlbt26ZWo6v5ubmpsjISBUoUECSlJKSovHjx8vNzU02m01ubrnfrks4BgAAd4z27dsrKipKEydO1JkzZ1StWjV9++23euCBB7R//361b99e7u7uCgsL0wcffCBJCgwM1MqVKzVw4EC9/vrrKlGihL7++muVLl06n88GAHJXdHS0KleuLB8fH3l4XI5+w4cPl8PhUFxcnDZs2KC+fftKktLS0lSkSBGdOHFCkrRw4ULNmDFDzZo105o1a1SoUCG98MILxuOX2rdvr7Fjx+p///ufxowZIz8/P0VERGjkyJHy8fFR//795ePjoy1btmjmzJku3bBPnTqlFi1auNS1fv36KlKkiBHOd+/erUcffVSenp6y2WwqXrx4rl8vwjEAALhjWCwWvfXWW3rrrbcyrRs9erRLq8aVGjZsqC1btuR29QDgtnLfffcpNTU10/I33nhDR44c0TvvvKOKFStmmgjLbrerbt26Cg4O1rPPPqsHHnhAERERmWarHj58uDp16qTXX39dxYoVM5YfPHhQtWvX1m+//SYpc8txx44dXfbz22+/adeuXS6P2EtPT9e6deuMFuO0tDRt3rxZDRs2vMmrcX2EYwAAAAC4SYE+eROpbsVxjh49qiFDhujgwYNau3atwsLCtGvXLo0cOVLdunUzwm96eroqVKigZs2aad++fSpZsqReeOEF/frrr9q+fbtRrk2bNho4cKAcDodxjBMnTmj+/PmaMmWKMaP1lS5duqSzZ8+6jDmuWbOmVq9eraCgIGN5UFCQfv75ZxUsWFBOp1PJycm5/nx6wjEAAMg1DqdTbldNunI3M9v5AmbncDr1VEihPD3ejf6N2bx5s3777TctX75cv//+u3r27KnIyEj5+fnphx9+0A8//KD+/ftr4sSJ+vjjj9W0aVPZ7f//uc1Vq1bVunXrJEnTp0/Xtm3bjN47FotF77zzjsvxgoODtWjRIj399NOSlGlCxMcee0zHjx9X7dq1JUkrV67U22+/rcKFC7sEZovFoqeeesplrHFiYqJ69OihHj163NA1yCnCMQAAyDVuFouWH7+kC6m2/K5Krgv08cjTD8kA8l9efxl2M8dLTEzUTz/9pM6dO2vJkiUKDAx0Wd+yZUs99thjev/992W322WxWDK19maYPXv2dY939fCWYcOGubz/8ccfFRAQYAThVq1aqVWrVjdySrmGcAwAAHLVhVSb/k6xX78gAOCWa9mypVq2bHnNMt7e3sYjm3JbkSJF8uQ4N4PnHAMAAAAATI9wDAAAAADXkV1XY9websXvh3AMAAAAANnw9PSUJCUnJ+dzTXAtGb+fjN/XzWDMMQAAAABkw93dXQEBATp37pwkyc/Pz2VWZeSvjMc8nTt3TgEBAZmexXwjCMcAAAAAcA3BwcGSZARk3H4CAgKM39PNIhwDAAAAwDVYLBaVKFFCxYoVU3p6en5XB1fx9PT8Vy3GGQjHAAAAAJAD7u7utySE4fbEhFwAAAAAANMjHAMAAAAATI9wDAAAAAAwPcIxAAAAAMD0CMcAAAAAANMjHAMAAAAATI9wDAAAAAAwPcIxAAAAAMD0CMcAAAAAANMjHAMAAAAATI9wDAAAAAAwPcIxAAAAAMD0CMcAAAAAANMjHAMAAABALomMjJTFYsn0ioyM1HvvvafixYurYMGCeuqppxQbG2ts99RTT7mUb9asWT6ehTkQjgEAAAAgl7zwwguKi4szXidPnlRQUJDKli2rr776Shs2bNCff/4pu92u119/3dhux44d2rNnj7HdsmXL8vEszMEjvysAAAAAAHcrLy8veXl5Ge+nTp2qdu3aafv27WrVqpUqV64s6XKInjJliiQpJiZGTqdT1apVy5c6mxUtxwAAAACQB1JTUzVp0iQNGzZMVatW1bfffqujR4/q3Llzmjlzppo3by5J2rZtm+x2u0qVKqUCBQro+eefV1xcXD7X/u5HOAYAAACAPLBgwQLVq1dPISEhatmypcqXL6/y5curePHiSkpK0pAhQyRJf/31l2rWrKnvv/9ev/32m44dO6ahQ4fmc+3vfoRjAAAAAMgDn332mXr37i1JWrx4saKjo7V//36dO3dOVatWVVhYmCRp6NChWrNmjWrWrKnq1avrww8/1OLFi/Oz6qbAmGMAAAAAyGWHDx/W4cOHja7T8+fPV3h4uEJDQyVJEydOVEBAgOLj4xUQEOCybbFixXThwgVZrVZ5e3vnddVNg5ZjAAAAAMhlX3/9tVq3bi1PT09JksPh0Llz54z1Z8+elSTZ7XZ17NhRmzZtMtZt2bJFxYsXJxjnMlqOAQAAACCXrVq1Sl27djXeP/LII/rwww9VsmRJ+fr6auLEiXrooYcUGBio6tWra8CAAZowYYJiY2M1dOhQhYeH51/lTYJwDAAAAAC5KCUlRVu3btW0adOMZX369NHJkyf13nvvKTY2Vg0aNNDs2bMlSYMHD9axY8fUokULFSpUSK+88oqGDRuWX9U3DcIxAAAAAOQiX19fWa1Wl2Xe3t6aNGmSJk2alKm8p6enZs6cqZkzZ+ZVFSHGHAMAAAAAQDgGAAAAgAwOpzO/q5CnzHa+10K3agAAAAD4P24Wi5Yfv6QLqbb8rkquC/Tx0FMhhfK7GrcNwjEAAAAAXOFCqk1/p9jzuxrIY3SrBgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAgOlFRkbKYrFkekVGRkqSDh8+rKJFi2a7fXp6uqpXr67169fnTYUB3HKEYwAAAJjeCy+8oLi4OON18uRJBQUF6ZFHHtHRo0fVqlUrxcXFZbv92LFjtXfv3jysMYBbjXAMAAAA0/Py8lJAQIDxmjNnjtq1a6fy5curTZs26tmzZ7bbHjp0SOPGjVNISEjeVRjALUc4BgAAAK6QmpqqSZMmadiwYZKkFStWqEOHDtmW79Wrl4YMGaL77rsvr6oIIBcQjgEAAIArLFiwQPXq1TNagsuWLZtt2dmzZyshIUEDBw7Mo9oByC0e+V0BAAAA4Hby2WefaeTIkdctd/78eQ0dOlSrV6+Wu7t77lcMQK6i5RgAAAD4P4cPH9bhw4fVvHnz65bt37+/unXrppo1a+ZBzQDkNsIxAAAA8H++/vprtW7dWp6entctu2DBAk2ePNmYxGvTpk1q3bq1xowZkwc1BXCr0a0aAAAA+D+rVq1S165dc1T22LFjLu+ff/559e/fXy1atMiFmgHIbYRjAAAAQFJKSoq2bt2qadOm5aj81Y9u8vHxUXBwsAICAm595QDkOsIxAAAAIMnX11dWqzXLdSEhIXI6ndfcfv369blQKwB5hTHHAAAAuOM4rhNU7zZmO18gP9ByDAAAgDuOm8Wi5ccv6UKqLb+rkusCfTz0VEih/K4GcNcjHAMAAOCOdCHVpr9T7PldDQB3CbpVAwAAAABMj3AMAAAAADA9wjEAAAAAwPQYc5yN6OhoxcbG5nc1TCEoKEhlypTJ72oAAAAAMDHCcRaio6MVGhqq5OTk/K6KKfj5+SkqKoqADAAAACDfEI6zEBsbq+TkZM2bN0+hoaH5XZ27WlRUlMLCwhQbG0s4BgAAAJBvCMfXEBoaqtq1a+d3NQAAAAAAuYwJuQAAAAAApkc4BgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACYHuEYAAAAAGB6hOO7XHx8vLZu3aq4uLj8rgoAAAAA3LYIx3eYwYMHq02bNsb7vn37ymKxGK8KFSoY6xYtWqSQkBB1795dpUqV0qJFi/KjygAAAABw2/PI7wog53bv3q2pU6dq165dxrIdO3bo+++/10MPPSRJcnd3lyQlJCTolVde0YYNG1SjRg1FRkZq0KBBevbZZ/Ol7gAAAABwOyMc3yEcDod69uypAQMGqFy5cpIkm82mffv2qVGjRipYsKBL+cTERE2cOFE1atSQJNWuXVsXLlzI83oDAAAAwJ2AbtV3iM8++0x79uxRSEiIli9frrS0NO3Zs0cOh0O1atWSr6+vWrRooejoaElS6dKl1blzZ0lSenq6JkyYoHbt2uXnKQAwqauHg1ypRYsWioyMNN6/9957Kl68uAoWLKinnnpKsbGxeVRLAABgdoTjO0BSUpJGjBihcuXK6cSJE5owYYIefvhh7d+/X5UrV9bcuXO1e/dueXh4qGfPni7b7tq1S8HBwVq1apU+/vjjfDoDAGaVMRxk0qRJmdbNnz9fq1evNt5v2LBBX331lTZs2KA///xTdrtdr7/+el5WFwAAmBjdqu8AS5Ys0T///KN169YpKChINptN1atX1z///KMdO3YY5aZOnaqyZcsqMTFR/v7+kqQaNWroxx9/1IABA9S9e3ctXrw4v04DgMlkNRwkw8WLF/XGG2+ocuXKxrJt27apVatWxrIXXnhBU6ZMydM6AwAA86Ll+A5w6tQp1a9fX0FBQZIkDw8P1ahRQ4cPH3YpV6xYMTkcDp05c8ZYZrFYVKdOHX3xxRdasmSJ4uPj87LqAEwsq+EgGd544w21a9dO9evXN5ZVrVpV3377rY4ePapz585p5syZat68eX5UHQAAmBDh+A5QqlQppaSkuCw7ceKEpk+frgULFhjLtmzZIjc3N5UuXVq//PKLBg0aZKzz8vKSxWKRmxu/cgC5L7vhICkpKVq3bp3Wrl2rsWPHumzTsmVLlS9fXuXLl1fx4sWVlJSkIUOG5NMZAAAAs6Fb9R3gySefVJ8+ffTZZ5+pdevWWrJkiXbt2qVp06YpIiJCxYsXl91uV58+fdSlSxf5+fmpUqVKmjZtmipWrKiWLVsqIiJCjz/+uNHdGgByU3bDQaZPn65PPvlEn376qQoVKuSyzeLFixUdHa39+/crKChIb775psLCwvTNN9/k01kAAAAzIRzfAQIDA7Vy5UoNHDhQr7/+ukqUKKGvv/5abdq00f79+9W+fXu5u7srLCxMH3zwgSSpRIkSWrx4sfr376+BAwfqiSee0Jw5c/L5TACYRXbDQY4dO6b//Oc/evLJJzNtM3/+fIWHhys0NFSSNHHiRAUEBCg+Pl4BAQF5WX0AAGBChOM7RMOGDbVly5ZMy0ePHq3Ro0dnuU3z5s21b9++3K4aAGSS3XCQr7/+WgUKFDDCbnJysr7++mtt27ZNDodD586dM8qfPXtWkmS32/Os3gAAwLwIxwCAWy674SDR0dEuYXfgwIGqX7++unbtqsjISH344YcqWbKkfH19NXHiRD300EMKDAzMxzMBAABmQTjOBQ6nU24WS35XI8+Y7XwBXF92w0FKly7tUq5gwYIKCgpSUFCQ+vTpo5MnT+q9995TbGysGjRooNmzZ+fTGQAAALMhHOcCN4tFy49f0oVUW35XJdcF+njoqZBC1y8IwHSyGw5ypcjISONnb29vTZo0SZMmTcrlmgEAAGRGOM4lF1Jt+juFcXIAAAAAcCfgobcAADmczvyuQp4y2/kCAIDro+UYAMBwEAAAYHqEYwCAJIaDAAAAc6NbNQAAAADA9AjHAAAAAADTIxwDAAAAAEyPcAwAAAAAMD3CMQAAAADA9AjHAAAAAADTIxwDAAAAAEyPcAwAAAAAMD3CMQAAAADA9AjHAAAAAADTIxwDAAAAAEyPcAwAAAAAMD3CMQAAAADA9AjHAAAAAADTIxwDAAAAAEyPcAwAAAAAMD3CMQAAAADA9AjHAAAAAADTIxwDAAAAAEzPI78rAAC4NaKjoxUbG3vD2/n6+io0NDQXanR7i4qKUkpKyk1tGxQUpDJlytziGgHmw9+tG3Ozf7fM+DeLe+vGcG9dRjgGgLtAdHS0QkNDlZycfMPbPvDAA/rjjz9yoVa3t86dO2vnzp03ta2fn5+ioqLuqg8EQF7j79aNu9m/W2b7m8W9deO4ty4jHAPAXSA2NlbJycmaN2/eDX/j7evrm0u1ur3Nnz//pr4lj4qKUlhYmGJjY++aDwNAfuDv1o27mb9bZvybxb1147i3LiMcA8BdJDQ0VLVr187vatwRzNhtDrgd8Xcr5/i7dWO4t3KOe+syJuQCAAAAAJge4RgAAAAAYHqEYwAAAACA6RGOAQAAAACmRzgGAAAAAJge4RgAAAAAYHqEYwAAAACA6RGOAQAAAACmRzgGAAAAAJge4RgAAAAAYHqEYwAAAACA6RGOAQAAAACmRzgGAAAAAJge4RgAAAAAYHqEYwAAAACA6RGOAQAAAACmRzgGAAAAAJge4RgAAAAAYHqEYwAAAACA6RGOAQAAAACmRzgGAAAAAJge4RgAAAAAYHqEYwA3JT4+Xlu3blVcXFx+VwUAAAD41wjHgMn17dtXFovFeFWoUEGStGzZMpUrV04eHh6qVauWoqKijG0WLVqkkJAQde/eXaVKldKiRYvyq/oAAADALUE4Bkxux44d+v777xUXF6e4uDjt3LlTR44c0csvv6wxY8YoJiZGlSpVUvfu3SVJCQkJeuWVV7Rhwwbt2bNHU6ZM0aBBg/L5LAAAAIB/xyO/KwAg/9hsNu3bt0+NGjVSwYIFjeW//PKLxowZo+eee06SFB4erieffFKSlJiYqIkTJ6pGjRqSpNq1a+vChQt5X3kAAADgFiIcAya2Z88eORwO1apVSzExMWrcuLGmTZum1q1bu5Q7cOCAKlasKEkqXbq0OnfuLElKT0/XhAkT1K5duzyvOwAAAHAr0a0aMLH9+/ercuXKmjt3rnbv3i0PDw/17NnTpUxaWpo++ugj9e7d22X5rl27FBwcrFWrVunjjz/Oy2oDAAAAtxzhGDCxzp07a8eOHWrQoIEqVqyoqVOnas2aNUpMTDTKjBgxQgUKFDDGHGeoUaOGfvzxR1WsWDHTOgAAAOBOQ7dqAIZixYrJ4XDozJkz8vf3188//6wpU6bot99+k6enp0tZi8WiOnXq6IsvvlD58uUVHx+vgICA/Kk4AAAA8C/RcgyY2KBBg7RgwQLj/ZYtW+Tm5qbSpUvr2LFj6tSpk6ZMmaIqVaoYZX755ReX2am9vLxksVjk5safEwAAANy5aDkGTKxmzZqKiIhQ8eLFZbfb1adPH3Xp0kUWi0WtW7fW008/rXbt2ikpKUmSVKBAAVWqVEnTpk1TxYoV1bJlS0VEROjxxx+Xv79/Pp8NAAAAcPNo6gFMLCwsTB07dlT79u3VqVMntWjRQp988ol+/PFH7d+/X9OnT1ehQoWM14kTJ1SiRAktXrxYkyZNUtWqVZWcnKw5c+bk96kAAAAA/wotx4DJjR49WqNHj3ZZ9vTTT8vpdGa7TfPmzbVv377crhoAAACQZ2g5BgAAAACYHuEYuIM4rtGaezcy2/kCAAAg/9CtGriDuFksWn78ki6k2vK7Krku0MdDT4UUyu9qAAAAwCQIx8Ad5kKqTX+n2PO7GgAAAMBdhW7VAAAAAADTIxwDAAAAAEyPcAwAAAAAMD3CMQAAAADA9AjHAAAAAADTIxwDAAAAAEyPcAwAAAAAMD2ecwzksejoaMXGxt7wdr6+vgoNDc2FGt3eoqKilJKSclPbBgUFqUyZMre4RgAAALgbEY6BPBQdHa3Q0FAlJyff8LYPPPCA/vjjj1yo1e2tc+fO2rlz501t6+fnp6ioKAIyAAAArotwDOSh2NhYJScna968eTfcCuzr65tLtbq9zZ8//6ZajqOiohQWFqbY2FjCMQAAAK6LcAzkg9DQUNWuXTu/q3FHMGNXcgAAAOS9m5qQq2nTptmuCw8Pv+nKAAAAAACQH3LUcnz8+HH5+vrKZrPJz89PqampOn36tGJiYuTm5iZfX1+tXbtWPXr00O7du3O7zgAAAAAA3FI5CsehoaGyWCwqUqSIevXqpSJFimjx4sUaP368YmNj9cQTT+jkyZPq2bOn/Pz8crvOAAAAAADcUjnqVl2/fn3VrVtXS5YskdPplJvb5c0mTZqk6tWrq0qVKvLw8JC3t3euVhYAAAAAgNxwQ2OOLRZLlsuyWg4AAAAAwJ3ipibkyrBjxw7Fx8fr8OHDio+P18qVK5WYmHir6gYAAAAAQJ74V+H4559/1rlz5/Tnn3/q/Pnzmj17ti5cuHCr6gYAAAAAQJ74V+H4zTffVMWKFdW+fXtVrFhRixYtUtmyZW9V3QAAAAAAyBP/KhxLjDkGAAAAANz5cvycY6fTqRkzZqhkyZJyOp2SpGXLlunMmTM6e/asnE6n7HZ7rlYWAAAAAIDckKOW465du6p3796677771LhxYyUmJqpKlSry8vJSy5YtVaVKFVmtVv39999yOBy5XWcAAAAAAG6pHLUcjxgxwuV9fHy8mjVrpmbNmhnL+vbtKzc3NybkAgAAAADccXI85thmsxk/Dxo0KPOO3C7vau3atbegWgAAAAAA5J0ctRwnJCSobt26GjlypNq2bavvv/9ea9euzTQRl8ViUePGjdWlS5dcqSwAAAAAALkhRy3HhQsX1kcffaRx48Zp7dq12rNnj+rXr681a9aoXr16+vHHH/Xggw/qnnvuUXh4uNLT03O73gAAAAAA3DI5ajm+dOmSWrRooaZNmyoxMVFlypRRr169NGXKFPXq1UuffPKJevfurfT0dDkcDtlsNnl6euZ23QEAAAAAuCVyFI6LFi0qHx8foxv1ww8/nGU5T09PjR079tbVDgAAAACAPJCjbtXp6em6dOmSjh8/rujo6Ezrrx57DAAAAADAnSRH4djpdGry5MmqVKmSDh06pC1btuihhx7SkSNHXP6b8QIAAAAA4E6S4zHHq1at0vr16xUaGqoffvhB3t7exuObMjidTqWkpORKRQEAAAAAyC05ajn29/fXsmXLtHbtWrm7u6tEiRKqVauWEhMTdfDgQdWsWVNxcXGqXr26GjRokNt1BgAAAADglspROM4wYsQISdJDDz2ktLQ0nT59WocPH1ZaWpref/99vfbaa7lSSQAAAAAAclOOulV37NhR1apVk4fH5eKenp5q166dzp49q5SUFG3cuFGpqan6/PPPFRAQoNGjR+dqpQEAAAAAuJVyFI7bt2+v9957T8nJydq3b59sNpveeOMNbdq0SWfPntXzzz8vSTpx4oQCAwNztcIAAAAAANxqOQrHzz33nJ577jm99dZbatKkiSZMmKAmTZrIarXq5MmTaty4cW7XEwAAAACAXJOjcJzhvffeU9u2bVWnTh1JUqtWrXKlUgAAAAAA5KUbmpBLkhGMAQAAAAC4W9xwOAYAAAAA4G5DOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKZHOAYAAAAAmB7hGAAAAABgeoRjAAAAAIDpEY4BAAAAAKbnkZcHczqdkqTExMS8POwNS0pKkiT9/vvvxs855evrq8qVK8s3PVn+dltuVO+24pvuocREdx04cEApKSk3vP2BAwckXb7mt/t9cStwb+Uc99aN4d7KOe6tG8O9lXPcWzeGeyvn/s29Zbb7SuLeuhFmubcy6peRR7NjcV6vxC106tQplS5dOq8OBwAAAACAJOnkyZMqVapUtuvzNBw7HA6dPn1ahQoVksViyavDmkJiYqJKly6tkydPyt/fP7+rg7sI9xZyC/cWcgv3FnIL9xZyC/dW7nI6nbp06ZLuvfdeubllP7I4T7tVu7m5XTOp49/z9/fnfyjkCu4t5BbuLeQW7i3kFu4t5BburdxTuHDh65ZhQi4AAAAAgOkRjgEAAAAApkc4vkt4e3trxIgR8vb2zu+q4C7DvYXcwr2F3MK9hdzCvYXcwr11e8jTCbkAAAAAALgd0XIMAAAAADA9wjEAAAAAwPTy9FFOyDvLly9Xq1at5OHBrxiunE6nUlNT5ePjc93njWeU9fX1zaPa4W6TlpYmi8UiT0/PTOusVmuWY6vS09O1adMmNWzYUF5eXnlRTdzhDh8+rIsXL+rBBx/MtozdbpfNZst2PJ/VapWHh4fc3d1zq5q4C9ntdu4ZZOnffN768ssvZbPZst3O4XCoYMGCeuaZZ255vc2OluO70L59+9SlSxedP38+v6uC29Dp06cVGBiooKAg4xUYGCiLxZLl8gceeECS1L17d5UuXVr333+/HnroIWN/3bt314oVK7R37141a9Ysv04Lt4GTJ0/K3d1d1apVU5kyZVS+fHlNnTpVpUuXVqlSpVxeJUuWVLFixZSQkCCr1eqyH6fTqc6dO+v77793WW6325WSkpKXp4TbyMqVKzVjxgzjtWbNGmPdl19+qe7du+ta06j89ttvqlWrlmrWrKng4GCVKFFCQUFBKlOmjGrUqKFatWppx44deXEquA398ssvql+/vvHebrdLktavX++y/Op77NNPP1XTpk1ls9kkSQ899JCmTZtmrOdvlnnd7OctSTpz5oxOnTplvCZMmKCffvrJeH/y5En9/fff+Xh2dy8m5LoL9erVS5UrV9brr78uSWrfvr02btwoHx8fJSUlyd/fX0lJSerUqZMmT56cz7XF7WDnzp1q166djh8/nm2ZPn36qF69emrSpInCwsLUtGlTffXVVzp37pyKFCkiT09PnTx5UuXKlVO1atU0d+7cvDsB3BbOnTuncuXKKSkpSf/73//0999/a/z48dfc5vTp02rZsqU8PT2z7OmS0brsdDqVnp6uBx54QDNnzsytU8BtrFmzZipZsqQqVqyo+fPn6+WXX9abb74pSUpISNCIESM0atQoFSxYUE6nUzNmzNCAAQMUFBSkU6dOKSoqShUrVpQkjRw5Uh4eHjp16pTq16+vrl275uOZIT9FRUVp6tSp6ty5s4YMGaKwsDBdvHhRX375pRwOh9LS0nTq1ClVrlxZqampev755xURESFJunjxou6//37973//08svvyxJaty4sXr37q1OnTppxowZGjlypDZv3qz77rsvP08Tt4mcfN5q0qSJYmNjXZbFxMTI399fhQoVclneokULjRs3Ljeqalr0ub3NlS9fXrGxsVl2SZQufyPZsmVLLV68WJJ07Ngxbdq0SZMnT9bu3bs1YsQILVmyRBaLRX/99ZdatGhxzf8hYU6rV69W27Ztr1nm6m5jb731lt566y0NGDBAYWFhKly4sIYOHapFixblYk1xO7uyC/Tq1auN4BIaGqrk5GSXf9T37dunixcv6t5779WuXbu0dOlSPfroo3rzzTeVlJSkFi1aKDU1VWPGjNGbb76pZ599Vnv37lWjRo3y/Lxwe/D09FSnTp3UpEkTTZgwQcePH1fx4sWVlJRkdFucN2+enE6nEhMTFRERoQ4dOigyMlIhISHZ/jsKc6tQoYLWrVun0qVLS5ImT56syZMnq2vXroqPj9fu3bv14Ycfav78+UpLS1O5cuUkSTabTZ06ddL58+eNYCxJFotFv//+uz777DPZ7XbNmTOHYAxDTj5vHT16VD/99JN2794tSXrggQf03nvvqUOHDnJ3d9c///wjLy8vJScnZ+phhX+PcHyb8/b21jfffJNtd9Vx48Zp586dki53Aerdu7cmTZokT09PjRkzRhUqVLjuOAeYz8GDB/X4448b72NjY+Xj46OlS5e6lCtUqJD27NljvN++fbuSk5MlXW7Rq1WrlgoUKKCNGzcaZapWraoVK1aobNmyuXsSuG3FxcVp69atRpD19PTUlClT1Lp1a6OMxWJxGfvZt29fbdy4UWPHjtWECRPUr18/eXl56T//+Y8eeeQRHTp0SAMHDtS2bdvy/Hxwe8j4gm758uWqXbu2pk6dqqlTpyokJESbNm1SqVKlXMp/+eWXOnbsmPHew8NDc+fOVUJCgrZt2yZ3d3fFx8frn3/+MQJ29+7d8/SckP88PT01a9YsHT58WFarVV27dlWjRo20ePFifffdd4qPj1d0dLRGjx6tlJQUffDBBwoODtbzzz+vxMREYz/JyclatmyZDh48qLi4OI0ePVqtWrXKxzPD7eBmPm8NGjRIvr6++vPPPyXJ+OJGkvbv36+4uDj5+vrqmWeekY+PT66fg9kQjm9zOZmMJuPb8CVLlmjNmjXavXu30tLSVLBgQe3fvz+3q4g7kMViUWpqqs6ePav169frk08+MXoflCpVSocPH9bZs2dVt25dl+2OHj1qjKvy8vLS+fPnFRUV5VKmbt26fCFjcqdOnZKfn59xr9x3330aMmSIhgwZYpSpWrWqMaZPktzc3JSWlqawsDA9+OCDOnjwoAoXLqzIyEhFRERowIABcnNjmgxIX3zxhUtLXXay+js0atQotW7dWunp6XJ3d5fD4ZDdbtexY8c0f/58wrEJ/frrr2rdurWcTqdSUlJ08OBBpaWlKTk5Wffff79OnTqlPXv2qGLFirLb7Zo1a5aefPJJxcbGas6cOapUqZKcTqeefPJJ3XPPPfL399fQoUONYOx0OvXnn3+6jCeFedzM560+ffpo2rRpWrVqlaTL/z7WqlVLxYsX17Rp03T69GlJUs2aNa/bCo0bRzi+i7Rp00b79+9XhQoVVL9+fX3wwQcqUKBAflcLt6GruxeuWbNG1apVkySXCR6uHgPasWNHY8yxxWJRQkJCpgB9dViG+VSvXl3dunXTu+++q3Hjxum777677jbp6elq06aNPDw8dOzYMX311Vcu619++WX5+/vnVpVxB6lUqZK2bt2qF154QZJ06dIl1ahRw/jyJD4+XkuWLJEkLV68WOvXr9epU6ckXe6N1alTJyUnJ6tq1arau3ev6tevr2rVqhkfWGEuDz30kC5evKhGjRrJzc1Na9eu1enTp7Vp0yZ5eHioYsWKevTRRyVdniHYarWqcuXK2rRpk86dOyfpcgBeu3at3Nzc9Nhjj7n0WNi+fbvq1aun48eP073ahG7281bPnj1VsGBBdejQQV5eXkpPT5fVatWCBQtcyjkcDr44vsUIx3cRHx8f3X///Xr33XdVr149l24cwLU0b97c5ZvM7Jw5c0ZHjhyRdDnMeHt7KywszKXM+PHjlZqamnuVxR2hf//+uv/++xUfH6/vv/9egYGBxrq0tDR5eXlp3759SklJkY+Pj2JiYoz10dHRatmypTZv3qyAgIB8qD1uZ6NHj1ZoaKjCw8NVtmxZJSYmKikpyeimX6ZMGVWsWFG7du1yGXMsyfgQuXHjRnXo0EF79+41ZhOmx4t5/f7779q0aZMaNGig//znP/r666919OhRTZ06VSVKlDDK7dmzR/v37zf+LqWnp6ty5cqyWq3y9fXVe++9pwcffFCTJk3SRx99JOnyPde7d2+CMSTl7PNWamqqvLy81LdvX7Vp00Z2u11Tp07V+PHjXbpYR0VFafPmzUbYxq1BOL7LzJgxQx999JFGjBihPn36KD4+nlmDcUskJydr48aNRguMu7u71q9fL0maNGmSSpQooeeee04PP/wwHwJM7syZM1q9erUcDoe8vb31xhtv6N5779XWrVv14osvql+/flq3bp28vb3l4+Oj8PBwl3HrcXFxio+P18MPP5xp33379lXPnj3z8nRwm/Hx8VHr1q21cuVKNWvWTOXKlTOCsd1u15kzZxQSEqJdu3Zluf3ChQt1/vx5PfLII4qKitLQoUNVqVKlvDwF3GYyZqmOjo5Wr1691K1bN7Vp00Z169ZVy5YtjXLDhw+Xr6+vbDabnE6nSpYsqb/++stY/9lnn2ndunUaM2aMsczpdCotLS1Pzwd3tpYtW+qvv/7ShQsXVKVKFVWvXl2tW7dW9erVXbpRT5o0KdvntuPmEY7vIk6nU2PHjlXVqlV1/PhxVa1alTEuyJHsuvlcKSYmRv369VOVKlUUFhamrl27ateuXfL09NSJEydUsGBB/fzzz3I4HCpSpIjWrl2bl6eA28jevXu1ePFiLV26VMuXL5ckDRs2TOnp6Zo7d64sFovLoydOnz6tMWPGqHXr1lq+fLlGjhypQ4cOyc/PT3PmzFHlypVVr149jRw50ujGCHOKi4vTsGHDtHTpUk2ePFlffvmlnnjiCWN9TEyMihYtKl9fXzmdTu3evVujRo1SQkKCHA6HpMvdsqdPny4vLy+99tpreu2117Rjxw516NAhv04L+WjZsmVKS0tTr169NHz4cHXp0kVt27bVzJkzVbRoUVWoUMEo6+npKTc3N82YMUPh4eGZnuJgt9tVpUoVl2UOh0P+/v6Kj4/Pi9PBbS4nn7fWrVunN954Q+PHj9eoUaNUtWpV7dixQwUKFFBwcLBRzsvLix4vuYBwfBexWCzav3+/MW7B6XRq+/btstvtmf6AA1e6Xjcfh8OhHTt2qEaNGsYkS9OnT5e7u7uOHj2qxx9/XD169NDu3bs1b948owzMJSN8NG/eXM2bN5d0+YOndHmGzcjISG3dulWzZs2S1WrV8OHDJf3/7qzLli1Thw4dFBERoVmzZuncuXNas2aNjh49mm0rIMylSJEiKlGihBYuXKjg4GB17dpV27dvN9YfPXrU6EJttVpdtk1PT5ck1a5dO9NcCTCvp59+Ws2bNzcemyNJ/v7+cjqd+vHHH12e2BAXFydJ6t69u3r06JHps1XJkiX1yy+/uARqKfO9CPPKSbfq3bt3a9myZSpatKg8PDwUHh6ubt266aefftLvv/9ulMsuXOPfIRzf5hwOh9q2bZtpoH4Gq9Wq9u3bS7ochg8fPqytW7fq559/1urVq+Xn56cdO3aoSJEimfablpbGFPAm5XA4dP78eZUqVUpWq1X//POP8Uf67NmzqlChgux2u5xOp6TLz+UrVqyY0tLS9PHHH8vDw0Pe3t76/vvv1a9fP02bNk1NmzbVk08+qbZt22ry5Mk8ysmEsuo6mBGY/fz8ZLfbZbfbtX//fk2cONH4YJlRplSpUmrfvr18fHxUsmRJNWjQQK+88opWrVqlCxcuKCEhQffcc0/enRBuKxlfuvXp00cXLlzQY489ptdee00VK1bUihUrFB0drXnz5hnd8dPT01WjRg1FREQoPj5eBQoUkM1m01NPPZXpSRBpaWl8iWxifn5+cjqdxt8i6XIrcHh4uCIiIoz3pUqVksViyfYz2dX7yEDXV/O60c9bZ86cUYcOHTR27FiFh4frueee05NPPqkvv/xS4eHhLl32s3vMK/4dwvFtzmq1aunSpdd8zvFvv/0m6fIMnXXr1tWDDz6oZ555RiNGjJDT6VTx4sXl6+trTEQSEBBgfMhISkrKmxPBbcVqteqee+4xxg9n5fjx40a3/OTkZA0ePFiFChXSwYMHNXLkSI0ZM0azZ8/WF198oYYNG0q6/PzRN998U23bttX27dtz9Cgy3D0yWuau5Ofnp0KFCkm6HGr69OmjU6dO6bvvvtOAAQMk/f9WlTp16mjhwoWZ9tG1a1fdf//9iouLyzRTJ8zjyvvr888/V5kyZfTOO+9Iuvwhc82aNWrdurX69+8vSerRo4d69OghSUY3/tTUVC1fvjxTy/GOHTtcxpbCfFJSUlxaeK/8OT09XRUqVFCxYsUUFBSU7T4yZhQGMtzo5y0vLy8NHDhQzzzzjP773/8qJSVFAQEBSk1N1cyZM7VixQqX7RjPfutZnBlfVeCucPHiRRUtWjS/qwETyGgFzCoA22y2bL9ZB24Gj6vA1W5myFBiYqIKFChAKzEysdvtSktLk6+vb5brU1NT6W0HmADhGAAAAABgenwNDwAAAAAwPcIxAAAAAMD0CMcAAAAAANMjHAMAcBtIS0vT0qVLxVQgAADkD8IxAAC3AYvFonfeeUdz5szJUfl77rlH/v7+CggIcHn5+Pjo7bffzuXaAgBw92G2agAA8kHhwoXl7+8vd3d341FVqampcjgc8vPzM8qlpKTI29tb0dHRLtuXL19ea9euVUhIiMvykSNHysvLS8OGDcuL0wAA4K7Bg0gBAMgHCQkJkqSjR4+qRYsWWrdunUqWLClJCg8PV/ny5TVw4MBst7/Ws8R5JjQAADeOfz0BAMhH5cqVU8eOHTV37lxJks1m06JFi9SiRYtrbmez2bJd53A4bmkdAQAwA7pVAwCQD2JiYlSmTBk98MAD2ZaxWq06c+aMYmNjM62rXLmyLly4kOV2AwcO1JAhQ25ZXQEAMAPCMQAA+SA2NlYhISFKSkqSJI0fP16PPfaYPDw8NHfuXEVEROjvv/9WkyZNdOrUqXyuLQAAdz+6VQMAkI9sNpv69u2rVatWqWzZsqpUqZL8/PxUs2ZNbd++PVP5ihUrysPDw3hZLBZFR0erZ8+ecnd3N5a7u7vrzTffzIczAgDgzsSEXAAA5KPt27crLi5Ox48fV8OGDY3lI0eOVKVKlTKV9/T01N69e3X//fdLkkJCQuTv7y9vb29NmTJFvXv3liSNGTNGycnJeXMSAADcBQjHAADkowYNGqh+/fry8vJSenq6JCk4OFgNGzZUViOfLBZLpmXu7u5ZzlDNrNUAAOQc/2oCAHAbym5KkKzCcVpaWpbLAQBAzhGOAQDIB1eG37S0NFWuXFnVqlVTtWrVFBQUJEmy2+2ZQq/D4VC1atWMscUnTpxQamqq7Ha7Xn31VWP58OHDZbfb8/ScAAC4kxGOAQDIB1ar1fjZ29tbe/fudXn9+uuvevHFF9W1a1eX7dLT07V3717ZbDbZbDZVr15daWlpslqtmjJlirF81qxZuueee/L4rAAAuHPxKCcAAG5Dly5dkpeXl7y9vfO7KgAAmALhGAAAAABgenSrBgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACYHuEYAAAAAGB6hGMAAAAAgOkRjgEAAAAApkc4BgAAAACY3v8DQ8+yQjoamiEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "products = ['口红', '面膜', '隔离', '防晒', '精华', '面霜']\n",
    "target_sales = [700, 500, 600, 900, 600, 600]\n",
    "actual_sales = [653, 523, 648, 856, 714, 785]\n",
    "\n",
    "#创建柱状图\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "#目标销量柱状图\n",
    "plt.bar(products, target_sales, color='none', edgecolor='black', width=0.6, label='目标销量')\n",
    "\n",
    "#实际销量柱状图，宽度小一些，蓝色填充，白色外框\n",
    "actual_bars = plt.bar(products, actual_sales, color='skyblue', edgecolor='white', width=0.4, label='实际销量')\n",
    "\n",
    "#在每个柱状图上方加上实际销量的标签\n",
    "for bar in actual_bars:\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, yval, int(yval), va='bottom', ha='center', color='black')\n",
    "\n",
    "# 添加标题和标签\n",
    "plt.title('目标销量与实际销量柱状图')\n",
    "plt.xlabel('商品')\n",
    "plt.ylabel('销量')\n",
    "plt.legend()\n",
    "\n",
    "# 隐藏y轴的刻度线\n",
    "plt.gca().yaxis.set_major_locator(plt.NullLocator())\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49c6618f-59ae-4bb5-a48b-44cdeee7db3b",
   "metadata": {},
   "source": [
    "## 子弹图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bdd5563c-9011-4932-bb4b-f618fa7bab4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "categories = ['口红', '面膜', '隔离', '防晒', '精华', '面霜']\n",
    "targets = [700, 500, 600, 900, 600, 600]\n",
    "passing_scores = [600] * len(categories)\n",
    "good_scores = [200] * len(categories)\n",
    "actual_scores = [653, 523, 648, 856, 714, 785]\n",
    "\n",
    "#堆叠柱状图\n",
    "bar_width = 0.5\n",
    "index = np.arange(len(categories))\n",
    "\n",
    "#目标、及格、良好分数的柱状图\n",
    "plt.bar(index, targets, bar_width, label='目标', color='#F7C4C1')\n",
    "plt.bar(index, passing_scores, bar_width, bottom=targets, label='及格', color='#DBEDC5')\n",
    "plt.bar(index, good_scores, bar_width, bottom=[i+j for i,j in zip(targets, passing_scores)], label='良好', color='#C3E2EC')\n",
    "\n",
    "#实际分数的柱状图\n",
    "plt.bar(index, actual_scores, bar_width, label='实际', color='#7A10B5')\n",
    "\n",
    "#目标的横线，颜色用红色\n",
    "plt.hlines(targets, index - bar_width/2, index + bar_width/2, colors='red', linestyles='-', label='目标线')\n",
    "\n",
    "plt.xlabel('商品')\n",
    "plt.ylabel('分数')\n",
    "plt.title('目标、及格、良好与实际分数柱状图')\n",
    "plt.xticks(index, categories)\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "341603a3-2475-4d03-a64f-e8a2450ca753",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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